Triple
T1870124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun-2 workstation |
E39013
|
entity |
| Predicate | memoryAddressSpace |
P3700
|
FINISHED |
| Object | 32-bit virtual address space |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 32-bit virtual address space | Statement: [Sun-2 workstation, memoryAddressSpace, 32-bit virtual address space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryAddressSpace Context triple: [Sun-2 workstation, memoryAddressSpace, 32-bit virtual address space]
-
A.
addressSpaceSize
chosen
Indicates the total amount of addressable memory or identifier range allocated or available within a given address space.
-
B.
supportsByteAddressing
Indicates that one entity provides the capability for direct access to individual bytes within its addressable memory or data space for another entity.
-
C.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
D.
memoryModel
Indicates a relationship where an entity serves as or uses a specific model or framework for representing, organizing, or managing memory.
-
E.
addressMode
Indicates how data or resources are accessed or referenced within a system, such as the method or scheme used to locate them.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.